Do you have a clear, visual picture of what your agents are doing between input and output?
Deep visibility into agent traces is now foundational for running GenAI safely, reliably, and at scale, but most stacks still feel opaque and hard to debug.
To win, your GenAI solutions need rich, visual traces that make agent behavior easy to understand, debug, and scale.
The Challenge
Without a strong approach to visualizing agent interactions and data, teams struggle to:
- See end-to-end behavior — Logs show model calls, but not how agents transition state, branch, or recover.
- Debug efficiently — Issues are hard to reproduce, so debugging is slow, reactive, and dependent on ad hoc prints.
- Connect traces to performance — Latency, cost, and error patterns are disconnected from how agents actually reason.
Visibility gaps into agent behavior will drive slower incident response, higher risk, and low confidence in production agents.
Our Solution
In this hands-on workshop, your team designs, instruments, and validates practical tracing and visualization patterns for real agent workflows using curated notebooks and dashboards. Areas of focus include:
- Tracing Agent Execution — Capture detailed traces of state transitions, tool calls, and branching behavior.
- Visualizing Reasoning & State — Build views that surface reasoning paths, context evolution, and key checkpoints.
- Error & Recovery Views — Highlight failures, fallbacks, and recovery events so they are easy to see and act on.
- Interactive Labs & Dashboards — Work in curated notebooks and dashboards where traces update as agents run.
- Capstone & Live Coaching — Assemble a visual tracing view for a representative workflow with expert feedback.
Skills You'll Gain
- Agent Observability Design — Move from raw logs to meaningful, navigable traces across agent runs.
- Faster Debugging & Triage — Cut time to identify, reproduce, and resolve complex agent issues.
- Behavior & Performance Insight — Tie traces to latency, cost, and error patterns that matter in production.
- Alignment with SRE Standards — Bring agent observability closer to existing reliability and monitoring practices.
- Scale-Ready Tracing Patterns — Establish tracing approaches that grow with more agents, tools, and workflows.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Intermediate familiarity with GenAI agents and basic observability concepts recommended
Tools
Jupyter-style environment or IDE plus tracing and visualization tools or libraries
Explore the Remaining Advanced Agents Certification Workshops
Help your teams master Advanced Agentic AI methods. Click below to explore the remaining workshops in the Advanced Agents certification series.
Defining Agent Workflows with Prompts & Outputs
Baselining & Optimizing Your Agent Performance
Automating & Integrating AI Agents in Workflows
Integrating AI Agents into Your Business & Go-to-Market Strategy